class_docstr: Mesh implemented using explicit device placement.
docstr: Turn a Tensor into a tf.Tensor.
  
  Args:
    x: a Tensor
    laid_out_x: a LaidOutTensor
  Returns:
    a tf.Tensor
docstr_tok: ["Turn","a","Tensor","into","a","tf.Tensor",".","Args",":","x",":","a","Tensor","laid_out_x",":","a","LaidOutTensor","Returns",":","a","tf.Tensor"]
code: def export_to_tf_tensor(self, x, laid_out_x):
      """Turn a Tensor into a tf.Tensor.
  
      Args:
        x: a Tensor
        laid_out_x: a LaidOutTensor
      Returns:
        a tf.Tensor
      """
      return self.combine_slices(laid_out_x.all_slices, x.shape)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import os
  import random
  from mesh_tensorflow import ops_with_redefined_builtins
  from six.moves import xrange
  import tensorflow.compat.v1
label_desc: Use image node_id 12 for calling the PlacementMeshImpl obj's underlying member method code with example usage: obj.export_to_tf_tensor(x, laid_out_x) and returns: self